Paper
13 February 2007 Lasting monitoring of immune state in patients with coronary atherosclerosis
Author Affiliations +
Abstract
Immune state monitoring is an expensive, invasive and sometimes difficult necessity in patients with different disorders. Immune reaction dynamics study in patients with coronary atherosclerosis provides one of the leading components to complication development, clinical course prognosis and treatment and rehabilitation tactics. We've chosen intravenous glucose injection as metabolic irritant in the following four groups of patients: men with proved coronary atherosclerosis (CA), non insulin dependent diabetes mellitus (NIDDM), men hereditary burden by CA and NIDDM and practically healthy persons with longlivers in generation. Immune state parameters such as quantity of leukocytes and lymphocytes, circulating immune complexes levels, serum immunoglobulin levels, HLA antigen markers were studied at 0, 30 and 60 minutes during glucose loading. To obtain continues time function of studied parameters received data were approximated by polynomials of high degree with after going first derivatives. Time functions analyze elucidate principally different dynamics studied parameters in all chosen groups of patients, which couldn't be obtained from discontinuous data compare. Leukocyte and lymphocyte levels dynamics correlated HLA antigen markers in all studied groups. Analytical estimation of immune state in patients with coronary atherosclerosis shows the functional "margin of safety" of immune system state under glucose disturbance. Proposed method of analytical estimation also can be used in immune system monitoring in other groups of patients.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lidia I. Malinova, Tatyana P. Denisova, and Valery V. Tuchin "Lasting monitoring of immune state in patients with coronary atherosclerosis", Proc. SPIE 6438, Biophotonics and Immune Responses II, 64380N (13 February 2007); https://doi.org/10.1117/12.712836
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KEYWORDS
Glucose

Statistical analysis

Blood

Control systems

Pathogens

Resistance

Safety

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